Memory Bank and Context engineering

Tools and Implementations:

• https://github.com/getzep/graphiti
• Vertex AI Agent Engine Memory Bank: This provides a managed service for building AI agents with persistent memory, leveraging graph-like structures to store and retrieve information.
• Memgraph: An in-memory graph database designed for real-time analytics, ideal for high-velocity environments where immediate insights from connected data are required.
• Knowledge Graph Memory Systems: Open-source projects and frameworks exist that enable the creation of persistent memory systems for AI models using knowledge graphs, often built on graph database technologies.

Reference Websites

• https://cline.bot/blog/memory-bank-how-to-make-cline-an-ai-agent-that-never-forgets

• https://cloud.google.com/blog/products/ai-machine-learning/vertex-ai-memory-bank-in-public-preview

• https://kilocode.ai/docs/advanced-usage/memory-bank

• https://mcpmarket.com/server/memory-bank

• The GenAI Reference Architecture

• Effective context engineering for AI agents